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Texas A&M University's Department of Multidisciplinary Engineering is offering various research opportunities to Doctor of Philosophy in interdisciplinary engineering students. The current availabilities are listed below.

Artificial Intelligence Applications in Wholesale Distribution  

The Department of Multidisciplinary Engineering is offering an exciting research opportunity for potential Doctor of Philosophy students interested in the general application of artificial intelligence (AI) and data science in wholesale distribution operations and management. The application can be in sales, marketing, logistics and cybersecurity.

The program is expected to start in fall 2021 or spring 2022.

Research Topics

Wholesale distribution is a $7 trillion industry. It connects manufacturers and customers through products and supply chain solutions. This research will explore how advanced information technology like smart-connected devices, AI and machine learning techniques can be applied to better forecast distribution markets and improve distribution operational efficiency.

Specific research problems will be determined based on mutual interest among students, faculty and industry opportunity.

Minimum Qualifications

In addition to minimum requirements set by the Department of Multidisciplinary Engineering, the ideal doctoral student should have:

  • A strong background in data science;
  • Good programming knowledge in Python; and
  • An engineering degree with a business background.

Financial Support

This position will have funding from both teaching assistant and research assistant positions in the regular fall and spring semesters. Tuition will be covered.

Summer support will depend upon the availability of funds.

Salary compensation will be commensurate with that of the department.

More Information

If you have questions, please email Dr. Bimal Nepal:

Bimal Nepal

  • Professor, Engineering Technology & Industrial Distribution,
  • Associate Department Head for Undergraduate Studies,
  • Affiliated Faculty, Wm Michael Barnes’64 Department of Industrial & Systems Engineering,
  • Rader I Professor
Bimal Nepal